Bread Affects Clinical Parameters and Induces Gut Microbiome-Associated Personal Glycemic Responses

Tal Korem; David Zeevi; Niv Zmora; Omer Weissbrod; Noam Bar; Maya Lotan-Pompan; Sagi, Tali Avnit Sagi; Noa Kosower; Gal Malka; Michal Rein; Jotham Suez; Ben Z. Goldberg; Adina Weinberger; Avraham Levy; Eran Elinav; Eran Segal

doi:10.1016/j.cmet.2017.05.002

Bread Affects Clinical Parameters and Induces Gut Microbiome-Associated Personal Glycemic Responses

Tal Korem, David Zeevi, Niv Zmora, Omer Weissbrod, Noam Bar, Maya Lotan-Pompan, Sagi, Tali Avnit Sagi, Noa Kosower, Gal Malka, Michal Rein, Jotham Suez, Ben Z. Goldberg, Adina Weinberger, Avraham Levy, Eran Elinav, Eran Segal^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

226 Citations (Scopus)

Abstract

Bread is consumed daily by billions of people, yet evidence regarding its clinical effects is contradicting. Here, we performed a randomized crossover trial of two 1-week-long dietary interventions comprising consumption of either traditionally made sourdough-leavened whole-grain bread or industrially made white bread. We found no significant differential effects of bread type on multiple clinical parameters. The gut microbiota composition remained person specific throughout this trial and was generally resilient to the intervention. We demonstrate statistically significant interpersonal variability in the glycemic response to different bread types, suggesting that the lack of phenotypic difference between the bread types stems from a person-specific effect. We further show that the type of bread that induces the lower glycemic response in each person can be predicted based solely on microbiome data prior to the intervention. Together, we present marked personalization in both bread metabolism and the gut microbiome, suggesting that understanding dietary effects requires integration of person-specific factors.

Original language	English
Pages (from-to)	1243-1253
Number of pages	11
Journal	Cell Metabolism
Volume	25
Issue number	6
DOIs	https://doi.org/10.1016/j.cmet.2017.05.002
Publication status	Published - 6 Jun 2017

Funding

We thank the Segal and Elinav group members for fruitful discussions, Ohad Manor for his help with analyses, Naomi Avivi-Ragolsky for technical help, Anomarel Ogen for baking the sourdough bread, and Amnon Berezin from Kemach Haaretz for milling the flour. T.K. and D.Z are supported by the Ministry of Science, Technology, and Space, Israel. T.K. is supported by the Foulkes Foundation. E.E. is supported by Yael and Rami Ungar, Israel; the Leona M. and Harry B. Helmsley Charitable Trust; the Gurwin Family Fund for Scientific Research; the Crown Endowment Fund for Immunological Research; the estate of Jack Gitlitz; the estate of Lydia Hershkovich; the Benoziyo Endowment Fund for the Advancement of Science; the Adelis Foundation; John L. and Vera Schwartz, Pacific Palisades; Alan Markovitz, Canada; Cynthia Adelson, Canada; the estate of Samuel and Alwyn J. Weber; Mr. and Mrs. Donald L. Schwarz, Sherman Oaks; grants funded by the European Research Council; the Israel Science Foundation; and the Alon Foundation scholar award. E.E. is the incumbent of the Rina Gudinski Career Development Chair and a senior fellow of the Canadian Institute for Advanced Research (CIFAR). E.S. is supported by the Crown Human Genome Center; the Else Kroener Fresenius Foundation; Donald L. Schwarz, Sherman Oaks, CA; Jack N. Halpern, New York, NY; Leesa Steinberg, Canada; and grants funded by the European Research Council and the Israel Science Foundation. T.K. and D.Z. conceived the project, designed the study, designed and conducted all analyses, interpreted the results, and wrote the manuscript. T.K. and D.Z. equally contributed to this work and are listed in random order. N.Z. designed the study and interpreted the results. O.W. and N.B. assisted in analyses. A.W. designed the study, directed sample sequencing, and together with M.L.-P. and T.A.-S. performed metagenomic extraction and sequencing. M.L.-P. performed 16S sequencing. G.M., N.K., and M.R. designed the study and coordinated data collection. J.S. designed the study. B.Z.G., A.A.L., E.E., and E.S. conceived the project and designed the study. A.A.L, E.E., and E.S. designed and conducted the analyses, interpreted the results, and wrote the manuscript.

All Science Journal Classification (ASJC) codes

Physiology
Molecular Biology
Cell Biology

Access to Document

10.1016/j.cmet.2017.05.002Licence: Other

Cite this

Korem, T., Zeevi, D., Zmora, N., Weissbrod, O., Bar, N., Lotan-Pompan, M., Avnit Sagi, S. T., Kosower, N., Malka, G., Rein, M., Suez, J., Goldberg, B. Z., Weinberger, A., Levy, A., Elinav, E., & Segal, E. (2017). Bread Affects Clinical Parameters and Induces Gut Microbiome-Associated Personal Glycemic Responses. Cell Metabolism, 25(6), 1243-1253. https://doi.org/10.1016/j.cmet.2017.05.002

@article{fd48f573a78f4c93b4d4f438fa312ff0,

title = "Bread Affects Clinical Parameters and Induces Gut Microbiome-Associated Personal Glycemic Responses",

abstract = "Bread is consumed daily by billions of people, yet evidence regarding its clinical effects is contradicting. Here, we performed a randomized crossover trial of two 1-week-long dietary interventions comprising consumption of either traditionally made sourdough-leavened whole-grain bread or industrially made white bread. We found no significant differential effects of bread type on multiple clinical parameters. The gut microbiota composition remained person specific throughout this trial and was generally resilient to the intervention. We demonstrate statistically significant interpersonal variability in the glycemic response to different bread types, suggesting that the lack of phenotypic difference between the bread types stems from a person-specific effect. We further show that the type of bread that induces the lower glycemic response in each person can be predicted based solely on microbiome data prior to the intervention. Together, we present marked personalization in both bread metabolism and the gut microbiome, suggesting that understanding dietary effects requires integration of person-specific factors.",

author = "Tal Korem and David Zeevi and Niv Zmora and Omer Weissbrod and Noam Bar and Maya Lotan-Pompan and {Avnit Sagi}, {Sagi, Tali} and Noa Kosower and Gal Malka and Michal Rein and Jotham Suez and Goldberg, {Ben Z.} and Adina Weinberger and Avraham Levy and Eran Elinav and Eran Segal",

year = "2017",

month = jun,

day = "6",

doi = "10.1016/j.cmet.2017.05.002",

language = "English",

volume = "25",

pages = "1243--1253",

journal = "Cell Metabolism",

issn = "1550-4131",

publisher = "Cell Press",

number = "6",

}

Korem, T, Zeevi, D , Zmora, N, Weissbrod, O, Bar, N, Lotan-Pompan, M, Avnit Sagi, ST, Kosower, N, Malka, G, Rein, M, Suez, J, Goldberg, BZ, Weinberger, A , Levy, A , Elinav, E & Segal, E 2017, 'Bread Affects Clinical Parameters and Induces Gut Microbiome-Associated Personal Glycemic Responses', Cell Metabolism, vol. 25, no. 6, pp. 1243-1253. https://doi.org/10.1016/j.cmet.2017.05.002

TY - JOUR

T1 - Bread Affects Clinical Parameters and Induces Gut Microbiome-Associated Personal Glycemic Responses

AU - Korem, Tal

AU - Zeevi, David

AU - Zmora, Niv

AU - Weissbrod, Omer

AU - Bar, Noam

AU - Lotan-Pompan, Maya

AU - Avnit Sagi, Sagi, Tali

AU - Kosower, Noa

AU - Malka, Gal

AU - Rein, Michal

AU - Suez, Jotham

AU - Goldberg, Ben Z.

AU - Weinberger, Adina

AU - Levy, Avraham

AU - Elinav, Eran

AU - Segal, Eran

PY - 2017/6/6

Y1 - 2017/6/6

N2 - Bread is consumed daily by billions of people, yet evidence regarding its clinical effects is contradicting. Here, we performed a randomized crossover trial of two 1-week-long dietary interventions comprising consumption of either traditionally made sourdough-leavened whole-grain bread or industrially made white bread. We found no significant differential effects of bread type on multiple clinical parameters. The gut microbiota composition remained person specific throughout this trial and was generally resilient to the intervention. We demonstrate statistically significant interpersonal variability in the glycemic response to different bread types, suggesting that the lack of phenotypic difference between the bread types stems from a person-specific effect. We further show that the type of bread that induces the lower glycemic response in each person can be predicted based solely on microbiome data prior to the intervention. Together, we present marked personalization in both bread metabolism and the gut microbiome, suggesting that understanding dietary effects requires integration of person-specific factors.

AB - Bread is consumed daily by billions of people, yet evidence regarding its clinical effects is contradicting. Here, we performed a randomized crossover trial of two 1-week-long dietary interventions comprising consumption of either traditionally made sourdough-leavened whole-grain bread or industrially made white bread. We found no significant differential effects of bread type on multiple clinical parameters. The gut microbiota composition remained person specific throughout this trial and was generally resilient to the intervention. We demonstrate statistically significant interpersonal variability in the glycemic response to different bread types, suggesting that the lack of phenotypic difference between the bread types stems from a person-specific effect. We further show that the type of bread that induces the lower glycemic response in each person can be predicted based solely on microbiome data prior to the intervention. Together, we present marked personalization in both bread metabolism and the gut microbiome, suggesting that understanding dietary effects requires integration of person-specific factors.

UR - http://www.scopus.com/inward/record.url?scp=85020283977&partnerID=8YFLogxK

U2 - 10.1016/j.cmet.2017.05.002

DO - 10.1016/j.cmet.2017.05.002

M3 - Article

SN - 1550-4131

VL - 25

SP - 1243

EP - 1253

JO - Cell Metabolism

JF - Cell Metabolism

IS - 6

ER -

Bread Affects Clinical Parameters and Induces Gut Microbiome-Associated Personal Glycemic Responses

Abstract

Funding

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this